Data Engineer - Data Warehouse

EVENTIM
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Tech stack

Third Normal Form
Business Analytics Applications
BigTable
Google BigQuery
Data Governance
Data Transformation
Data Security
Data Vault Modeling
Data Warehousing
Data Analytics
Star Schema
Data Pipelines

Job description

As a Data Engineer, you will play a key part in understanding, structuring, and scaling the data that powers the world's second-largest ticketing and live entertainment company. You'll ensure that critical data is organized, reliable, and accessible to a wide range of consumers. As part of a newly reorganized team committed to agile principles and modern best practices, you'll help shape the future of data at Eventim., * Design, develop, and maintain Eventim's modern Data Analytics Platform to power insights across the organization and for our partners.

  • Build and optimize pipelines using the Data Vault 2.0 methodology, ensuring scalability, efficiency, and reliability for business-critical workflows.
  • Ensure that data needs across Adtech, CRM, Controlling, external partners, and new business initiatives are consistently met.
  • Drive transparency and trust in data pipelines by capturing and validating metadata, and by producing clear, accessible documentation for diverse data consumers.
  • Collaborate with cross-functional teams to deliver impactful analytics solutions that enable smarter, data-driven decisions at Eventim.

Requirements

  • A degree on technology field or equivalent work experience.
  • Strong understanding of data modeling approaches (Data Vault 2.0, Star Schema, One Big Table, 3NF) and the ability to apply them effectively.
  • Hands-on experience with dbt or similar data transformation tools.
  • Familiarity with cloud data warehouses, ideally BigQuery and related GCP services.
  • Solid knowledge of Data Governance practices, including GDPR, Data Quality Processes, and secure Data Sharing.
  • A collaborative mindset and the ability to thrive in agile, cross-functional environments.
  • Full responsibility for outputs and outcomes.
  • Independently analyzes multi-dimensional topics and adjusts priorities and be able to break down complexity into actionable steps.

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